| 1 |
<?php |
| 2 |
/** |
| 3 |
* AI Manager Class |
| 4 |
* |
| 5 |
* Handles AI provider integration and management |
| 6 |
* |
| 7 |
* @package ThinkRank\AI |
| 8 |
* @since 1.0.0 |
| 9 |
*/ |
| 10 |
|
| 11 |
declare(strict_types=1); |
| 12 |
|
| 13 |
namespace ThinkRank\AI; |
| 14 |
|
| 15 |
use ThinkRank\Core\Settings; |
| 16 |
|
| 17 |
|
| 18 |
// Prevent direct access |
| 19 |
if (!defined('ABSPATH')) { |
| 20 |
exit; |
| 21 |
} |
| 22 |
|
| 23 |
/** |
| 24 |
* AI Manager Class |
| 25 |
* |
| 26 |
* Single Responsibility: Manage AI providers and requests |
| 27 |
* |
| 28 |
* @since 1.0.0 |
| 29 |
*/ |
| 30 |
class Manager { |
| 31 |
|
| 32 |
/** |
| 33 |
* Settings instance |
| 34 |
* |
| 35 |
* @var Settings |
| 36 |
*/ |
| 37 |
private Settings $settings; |
| 38 |
|
| 39 |
|
| 40 |
|
| 41 |
/** |
| 42 |
* Cache manager instance |
| 43 |
* |
| 44 |
* @var Cache_Manager |
| 45 |
*/ |
| 46 |
private Cache_Manager $cache; |
| 47 |
|
| 48 |
/** |
| 49 |
* Current AI client |
| 50 |
* |
| 51 |
* @var OpenAI_Client|Claude_Client|null |
| 52 |
*/ |
| 53 |
private $client = null; |
| 54 |
|
| 55 |
|
| 56 |
/** |
| 57 |
* Constructor |
| 58 |
* |
| 59 |
* @param Settings|null $settings Settings instance |
| 60 |
*/ |
| 61 |
public function __construct(?Settings $settings = null) { |
| 62 |
$this->settings = $settings ?? Settings::instance(); |
| 63 |
$this->cache = new Cache_Manager((int) $this->settings->get('cache_duration', 3600)); |
| 64 |
} |
| 65 |
|
| 66 |
/** |
| 67 |
* Initialize AI manager |
| 68 |
* |
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* @return void |
| 70 |
*/ |
| 71 |
public function init(): void { |
| 72 |
// Initialize AI client based on settings |
| 73 |
add_action('init', [$this, 'initialize_client']); |
| 74 |
|
| 75 |
// Schedule cache cleanup |
| 76 |
add_action('thinkrank_daily_cleanup', [$this, 'cleanup_cache']); |
| 77 |
|
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// Add AJAX handlers for AI requests |
| 79 |
add_action('wp_ajax_thinkrank_generate_metadata', [$this, 'ajax_generate_metadata']); |
| 80 |
add_action('wp_ajax_thinkrank_test_api_connection', [$this, 'ajax_test_connection']); |
| 81 |
} |
| 82 |
|
| 83 |
/** |
| 84 |
* Initialize AI client |
| 85 |
* |
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* @return void |
| 87 |
*/ |
| 88 |
public function initialize_client(): void { |
| 89 |
$provider = $this->settings->get('ai_provider', 'openai'); |
| 90 |
|
| 91 |
try { |
| 92 |
switch ($provider) { |
| 93 |
case 'openai': |
| 94 |
$api_key = $this->settings->get('openai_api_key'); |
| 95 |
if ($api_key) { |
| 96 |
// Allow any model id (incl. user-entered custom models); |
| 97 |
// only fall back to the default when none is set. |
| 98 |
$model = $this->settings->get('openai_model', 'gpt-5-nano'); |
| 99 |
if (empty($model)) { |
| 100 |
$model = 'gpt-5-nano'; |
| 101 |
} |
| 102 |
// OpenAI's reasoning models (GPT-5/o-series) spend a long |
| 103 |
// time on reasoning tokens before emitting content, so |
| 104 |
// large completions (content briefs) regularly outlive the |
| 105 |
// 120s used for the other providers. Give them 300s. |
| 106 |
$timeout = 300; |
| 107 |
$this->client = new OpenAI_Client($api_key, $model, $timeout); |
| 108 |
|
| 109 |
// OpenAI client created successfully |
| 110 |
} |
| 111 |
break; |
| 112 |
|
| 113 |
case 'claude': |
| 114 |
$api_key = $this->settings->get('claude_api_key'); |
| 115 |
if ($api_key) { |
| 116 |
// Allow any model id (incl. user-entered custom models); |
| 117 |
// only fall back to the default when none is set. |
| 118 |
$model = $this->settings->get('claude_model', 'claude-sonnet-5'); |
| 119 |
if (empty($model)) { |
| 120 |
$model = 'claude-sonnet-5'; |
| 121 |
} |
| 122 |
// Use 120-second timeout for complex AI operations |
| 123 |
$timeout = 120; |
| 124 |
$this->client = new Claude_Client($api_key, $model, $timeout); |
| 125 |
|
| 126 |
// Claude client created successfully |
| 127 |
} |
| 128 |
break; |
| 129 |
|
| 130 |
case 'gemini': |
| 131 |
$api_key = $this->settings->get('gemini_api_key'); |
| 132 |
if ($api_key) { |
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// Allow any model id (incl. user-entered custom models); |
| 134 |
// only fall back to the default when none is set. |
| 135 |
$model = $this->settings->get('gemini_model', 'gemini-2.5-flash'); |
| 136 |
if (empty($model)) { |
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$model = 'gemini-2.5-flash'; |
| 138 |
} |
| 139 |
// Use 120-second timeout for complex AI operations |
| 140 |
$timeout = 120; |
| 141 |
$this->client = new Gemini_Client($api_key, $model, $timeout); |
| 142 |
} |
| 143 |
break; |
| 144 |
|
| 145 |
case 'openrouter': |
| 146 |
$api_key = $this->settings->get('openrouter_api_key'); |
| 147 |
if ($api_key) { |
| 148 |
// Allow any model id (incl. user-entered custom models); |
| 149 |
// only fall back to the default when none is set. |
| 150 |
$model = $this->settings->get('openrouter_model', 'openai/gpt-4o-mini'); |
| 151 |
if (empty($model)) { |
| 152 |
$model = 'openai/gpt-4o-mini'; |
| 153 |
} |
| 154 |
// Use 120-second timeout for complex AI operations |
| 155 |
$timeout = 120; |
| 156 |
$this->client = new OpenRouter_Client($api_key, $model, $timeout); |
| 157 |
} |
| 158 |
break; |
| 159 |
|
| 160 |
default: |
| 161 |
throw new \Exception("Unsupported AI provider: {$provider}"); |
| 162 |
} |
| 163 |
} catch (\Exception $e) { |
| 164 |
// AI client initialization failed, will be handled later |
| 165 |
} |
| 166 |
} |
| 167 |
|
| 168 |
/** |
| 169 |
* Get the display name of the currently selected AI provider |
| 170 |
* |
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* @return string Provider display name (e.g. "OpenAI") |
| 172 |
*/ |
| 173 |
private function get_provider_label(): string { |
| 174 |
$labels = [ |
| 175 |
'openai' => 'OpenAI', |
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'claude' => 'Claude', |
| 177 |
'gemini' => 'Gemini', |
| 178 |
'openrouter' => 'OpenRouter', |
| 179 |
]; |
| 180 |
|
| 181 |
$provider = (string) $this->settings->get('ai_provider', 'openai'); |
| 182 |
|
| 183 |
return $labels[$provider] ?? ucfirst($provider); |
| 184 |
} |
| 185 |
|
| 186 |
/** |
| 187 |
* Build a user-friendly message explaining why AI features are unavailable |
| 188 |
* |
| 189 |
* Provider-aware: tells the user exactly which API key is missing and where |
| 190 |
* to add it, instead of a generic "client not initialized" error. |
| 191 |
* |
| 192 |
* @return string Actionable error message for end users |
| 193 |
*/ |
| 194 |
private function get_client_unavailable_message(): string { |
| 195 |
$provider = (string) $this->settings->get('ai_provider', 'openai'); |
| 196 |
|
| 197 |
// The React admin renders this anchor as a real link via linkifyMessage(). |
| 198 |
$settings_link = sprintf( |
| 199 |
'<a href="%s" target="_blank" rel="noopener noreferrer">%s</a>', |
| 200 |
esc_url(admin_url('admin.php?page=thinkrank-settings')), |
| 201 |
__('ThinkRank → Settings', 'thinkrank') |
| 202 |
); |
| 203 |
|
| 204 |
if (empty($this->settings->get("{$provider}_api_key"))) { |
| 205 |
return sprintf( |
| 206 |
/* translators: %s: link to the ThinkRank settings page. */ |
| 207 |
__('AI features are not set up yet. To enable them, add your API key under %s.', 'thinkrank'), |
| 208 |
$settings_link |
| 209 |
); |
| 210 |
} |
| 211 |
|
| 212 |
return sprintf( |
| 213 |
/* translators: 1: AI provider name (e.g. OpenAI), 2: link to the ThinkRank settings page. */ |
| 214 |
__('ThinkRank could not connect to %1$s. Please verify your API key and model under %2$s, then try again.', 'thinkrank'), |
| 215 |
$this->get_provider_label(), |
| 216 |
$settings_link |
| 217 |
); |
| 218 |
} |
| 219 |
|
| 220 |
/** |
| 221 |
* Force re-initialization of client (useful after settings change) |
| 222 |
* |
| 223 |
* @return void |
| 224 |
*/ |
| 225 |
public function reinitialize_client(): void { |
| 226 |
$this->client = null; |
| 227 |
$this->initialize_client(); |
| 228 |
} |
| 229 |
|
| 230 |
/** |
| 231 |
* Get the AI client instance |
| 232 |
* |
| 233 |
* @return OpenAI_Client|Claude_Client|null AI client instance |
| 234 |
* @throws \Exception If client cannot be initialized |
| 235 |
*/ |
| 236 |
public function get_client() { |
| 237 |
// Initialize client if not already done |
| 238 |
if (!$this->client) { |
| 239 |
$this->initialize_client(); |
| 240 |
} |
| 241 |
|
| 242 |
// If still not available, throw error |
| 243 |
if (!$this->client) { |
| 244 |
throw new \Exception($this->get_client_unavailable_message()); |
| 245 |
} |
| 246 |
|
| 247 |
return $this->client; |
| 248 |
} |
| 249 |
|
| 250 |
/** |
| 251 |
* Generate SEO metadata for content |
| 252 |
* |
| 253 |
* @param string $content Content to analyze |
| 254 |
* @param array $options Generation options |
| 255 |
* @return array Generated metadata |
| 256 |
* @throws \Exception If generation fails |
| 257 |
*/ |
| 258 |
public function generate_seo_metadata(string $content, array $options = []): array { |
| 259 |
// Check if client is available, try to initialize if not |
| 260 |
if (!$this->client) { |
| 261 |
$this->initialize_client(); |
| 262 |
|
| 263 |
// If still not available, throw error |
| 264 |
if (!$this->client) { |
| 265 |
throw new \Exception($this->get_client_unavailable_message()); |
| 266 |
} |
| 267 |
} |
| 268 |
|
| 269 |
// Check rate limits |
| 270 |
if (!$this->check_rate_limit()) { |
| 271 |
throw new \Exception('Rate limit exceeded. Please try again later.'); |
| 272 |
} |
| 273 |
|
| 274 |
// Get current user for logging |
| 275 |
$user_id = get_current_user_id(); |
| 276 |
|
| 277 |
// Generate cache key |
| 278 |
$cache_key = $this->cache->generate_content_key($content, $options); |
| 279 |
|
| 280 |
// Check cache first |
| 281 |
$cached_result = $this->cache->get($cache_key); |
| 282 |
if ($cached_result !== null) { |
| 283 |
return $cached_result['data']; |
| 284 |
} |
| 285 |
|
| 286 |
try { |
| 287 |
// Generate metadata using AI |
| 288 |
$metadata = $this->client->generate_seo_metadata($content, $options); |
| 289 |
|
| 290 |
// Ensure user has configured their API key |
| 291 |
$user_has_api_key = !empty($this->settings->get('openai_api_key')) || !empty($this->settings->get('claude_api_key')) || !empty($this->settings->get('gemini_api_key')) || !empty($this->settings->get('openrouter_api_key')); |
| 292 |
|
| 293 |
if (!$user_has_api_key) { |
| 294 |
throw new \Exception($this->get_client_unavailable_message()); |
| 295 |
} |
| 296 |
|
| 297 |
// Cache the result |
| 298 |
$this->cache->set($cache_key, $metadata); |
| 299 |
|
| 300 |
// Log usage with actual model information and raw AI text (Content Brief pattern) |
| 301 |
$actual_model = $this->client ? $this->client->get_model() : null; |
| 302 |
$ai_text = $metadata['_ai_text'] ?? null; |
| 303 |
$this->log_ai_usage($user_id, 'SEO Metadata', $metadata['tokens_used'] ?? 0, $actual_model, $ai_text); |
| 304 |
|
| 305 |
// Remove AI text from returned data to keep it clean |
| 306 |
unset($metadata['_ai_text']); |
| 307 |
|
| 308 |
return $metadata; |
| 309 |
|
| 310 |
} catch (\Exception $e) { |
| 311 |
throw $e; |
| 312 |
} |
| 313 |
} |
| 314 |
|
| 315 |
/** |
| 316 |
* Generate an improved SEO title that addresses a specific suggestion. |
| 317 |
* |
| 318 |
* Used by the "Apply" action on title-related SEO score suggestions. Builds a |
| 319 |
* focused, best-practice title prompt and runs it through the configured |
| 320 |
* provider, reusing the same completion/extraction path as the content brief |
| 321 |
* generator so OpenAI, Claude and Gemini all parse consistently. |
| 322 |
* |
| 323 |
* @since 1.14.0 |
| 324 |
* |
| 325 |
* @param string $content Post content for context. |
| 326 |
* @param array $options { |
| 327 |
* @type string $current_title Current SEO title. |
| 328 |
* @type string $target_keyword Focus keyword. |
| 329 |
* @type string $content_type Content type (blog_post, page, …). |
| 330 |
* @type string $tone Desired tone. |
| 331 |
* @type string $suggestion The suggestion the title must address. |
| 332 |
* } |
| 333 |
* @return array{title:string} The improved SEO title. |
| 334 |
* @throws \Exception If the AI client is unavailable or returns no title. |
| 335 |
*/ |
| 336 |
public function improve_seo_title(string $content, array $options = []): array { |
| 337 |
if (!$this->client) { |
| 338 |
$this->initialize_client(); |
| 339 |
if (!$this->client) { |
| 340 |
throw new \Exception($this->get_client_unavailable_message()); |
| 341 |
} |
| 342 |
} |
| 343 |
|
| 344 |
// Ensure user has configured their API key. |
| 345 |
$user_has_api_key = !empty($this->settings->get('openai_api_key')) || !empty($this->settings->get('claude_api_key')) || !empty($this->settings->get('gemini_api_key')) || !empty($this->settings->get('openrouter_api_key')); |
| 346 |
if (!$user_has_api_key) { |
| 347 |
throw new \Exception($this->get_client_unavailable_message()); |
| 348 |
} |
| 349 |
|
| 350 |
// Check rate limits. |
| 351 |
if (!$this->check_rate_limit()) { |
| 352 |
throw new \Exception('Rate limit exceeded. Please try again later.'); |
| 353 |
} |
| 354 |
|
| 355 |
$current_title = (string) ($options['current_title'] ?? ''); |
| 356 |
$target_keyword = (string) ($options['target_keyword'] ?? ''); |
| 357 |
$content_type = (string) ($options['content_type'] ?? 'blog_post'); |
| 358 |
$tone = (string) ($options['tone'] ?? 'professional'); |
| 359 |
$suggestion = (string) ($options['suggestion'] ?? ''); |
| 360 |
|
| 361 |
// Cache identical requests (same content + inputs) to avoid duplicate calls. |
| 362 |
// Cap content server-side (mirror the frontend 5000-char trim) so a |
| 363 |
// direct REST caller can't force oversized prompt/cache/AI work. |
| 364 |
$content = mb_substr($content, 0, 5000); |
| 365 |
|
| 366 |
$cache_key = 'improve_title_' . md5($content . '|' . $current_title . '|' . $target_keyword . '|' . $content_type . '|' . $tone . '|' . $suggestion); |
| 367 |
$cached_result = $this->cache->get($cache_key); |
| 368 |
if ($cached_result !== null) { |
| 369 |
return $cached_result['data'] ?? $cached_result; |
| 370 |
} |
| 371 |
|
| 372 |
$user_id = get_current_user_id(); |
| 373 |
$provider = method_exists($this->client, 'get_provider') ? $this->client->get_provider() : 'openai'; |
| 374 |
|
| 375 |
// Use ThinkRank's own validation word lists so the generated title passes |
| 376 |
// the same emotion/sentiment and power-word checks the scorer applies. |
| 377 |
$sentiment_words = SEOScoreCalculator::get_title_sentiment_words(); |
| 378 |
$power_words = SEOScoreCalculator::get_title_power_words(); |
| 379 |
|
| 380 |
// When the suggestion explicitly asks for an emotional/sentiment word we |
| 381 |
// strictly validate the result (and retry once) to guarantee it passes. |
| 382 |
$needs_sentiment = stripos($suggestion, 'sentiment') !== false || stripos($suggestion, 'emotional') !== false; |
| 383 |
|
| 384 |
$prompt = (new Prompt_Builder())->build_title_improvement_prompt( |
| 385 |
$content, |
| 386 |
$current_title, |
| 387 |
$target_keyword, |
| 388 |
$content_type, |
| 389 |
$tone, |
| 390 |
$suggestion, |
| 391 |
$provider, |
| 392 |
$sentiment_words, |
| 393 |
$power_words |
| 394 |
); |
| 395 |
|
| 396 |
$generated = $this->request_title($prompt); |
| 397 |
$title = $generated['title']; |
| 398 |
$total_tokens = $generated['tokens']; |
| 399 |
$ai_text = $generated['ai_text']; |
| 400 |
|
| 401 |
// A reasoning model can still return an empty/truncated title on the |
| 402 |
// first pass; retry once before giving up so the "Apply" action reliably |
| 403 |
// produces a title. |
| 404 |
if ($title === '') { |
| 405 |
$retry = $this->request_title($prompt); |
| 406 |
$total_tokens += $retry['tokens']; |
| 407 |
if ($retry['ai_text'] !== '') { |
| 408 |
$ai_text = $retry['ai_text']; |
| 409 |
} |
| 410 |
if ($retry['title'] !== '') { |
| 411 |
$title = $retry['title']; |
| 412 |
} |
| 413 |
} |
| 414 |
|
| 415 |
// Guarantee the emotion/sentiment check passes: if it was required but the |
| 416 |
// title still lacks a listed word, retry once with a non-negotiable |
| 417 |
// instruction. If the retry also fails we keep the best title we have. |
| 418 |
if ($needs_sentiment && !$this->title_contains_word($title, $sentiment_words)) { |
| 419 |
$retry_prompt = $prompt . "\n\nIMPORTANT: Your previous attempt was rejected because the title did not contain a required word. The new title MUST include at least one of these exact words verbatim: " . implode(', ', $sentiment_words) . '.'; |
| 420 |
$retry = $this->request_title($retry_prompt); |
| 421 |
$total_tokens += $retry['tokens']; |
| 422 |
if ($retry['ai_text'] !== '') { |
| 423 |
$ai_text = $retry['ai_text']; |
| 424 |
} |
| 425 |
if ($retry['title'] !== '' && $this->title_contains_word($retry['title'], $sentiment_words)) { |
| 426 |
$title = $retry['title']; |
| 427 |
} |
| 428 |
} |
| 429 |
|
| 430 |
if ($title === '') { |
| 431 |
throw new \Exception('The AI did not return a usable title. Please try again.'); |
| 432 |
} |
| 433 |
|
| 434 |
// Log usage. |
| 435 |
$actual_model = $this->client ? $this->client->get_model() : null; |
| 436 |
$this->log_ai_usage($user_id, 'SEO Title Improvement', (int) $total_tokens, $actual_model, $ai_text); |
| 437 |
|
| 438 |
$result = ['title' => $title]; |
| 439 |
$this->cache->set($cache_key, $result); |
| 440 |
|
| 441 |
return $result; |
| 442 |
} |
| 443 |
|
| 444 |
/** |
| 445 |
* Run a single title-generation request: call the provider, extract the |
| 446 |
* title text across provider response shapes, and clamp it to 60 characters. |
| 447 |
* |
| 448 |
* @param string $prompt The prompt to send. |
| 449 |
* @return array{title:string,ai_text:string,tokens:int} |
| 450 |
*/ |
| 451 |
private function request_title(string $prompt): array { |
| 452 |
// Larger budget so reasoning models (e.g. gpt-5-nano) don't spend the |
| 453 |
// whole allowance "thinking" and truncate the JSON before the title. |
| 454 |
$completion = $this->request_completion($prompt, 4096); |
| 455 |
$title = $this->extract_json_field($completion['ai_text'], 'title'); |
| 456 |
|
| 457 |
// Safety net: enforce the 60-character maximum even if the model overruns. |
| 458 |
if (mb_strlen($title) > 60) { |
| 459 |
$title = rtrim(mb_substr($title, 0, 60)); |
| 460 |
} |
| 461 |
|
| 462 |
return [ |
| 463 |
'title' => $title, |
| 464 |
'ai_text' => $completion['ai_text'], |
| 465 |
'tokens' => $completion['tokens'], |
| 466 |
]; |
| 467 |
} |
| 468 |
|
| 469 |
/** |
| 470 |
* Generate an improved meta description that addresses a specific suggestion. |
| 471 |
* |
| 472 |
* Guarantees ThinkRank's technical check passes (120-160 characters) and, |
| 473 |
* when the suggestion is about the focus keyword, that the keyword is present |
| 474 |
* — retrying once if the first attempt falls outside the constraints. |
| 475 |
* |
| 476 |
* @since 1.14.0 |
| 477 |
* |
| 478 |
* @param string $content Post content for context. |
| 479 |
* @param array $options { |
| 480 |
* @type string $current_description Current meta description. |
| 481 |
* @type string $target_keyword Focus keyword. |
| 482 |
* @type string $content_type Content type. |
| 483 |
* @type string $tone Desired tone. |
| 484 |
* @type string $suggestion The suggestion to address. |
| 485 |
* } |
| 486 |
* @return array{description:string} The improved meta description. |
| 487 |
* @throws \Exception If the AI client is unavailable or returns nothing usable. |
| 488 |
*/ |
| 489 |
public function improve_meta_description(string $content, array $options = []): array { |
| 490 |
if (!$this->client) { |
| 491 |
$this->initialize_client(); |
| 492 |
if (!$this->client) { |
| 493 |
throw new \Exception($this->get_client_unavailable_message()); |
| 494 |
} |
| 495 |
} |
| 496 |
|
| 497 |
$user_has_api_key = !empty($this->settings->get('openai_api_key')) || !empty($this->settings->get('claude_api_key')) || !empty($this->settings->get('gemini_api_key')) || !empty($this->settings->get('openrouter_api_key')); |
| 498 |
if (!$user_has_api_key) { |
| 499 |
throw new \Exception($this->get_client_unavailable_message()); |
| 500 |
} |
| 501 |
|
| 502 |
if (!$this->check_rate_limit()) { |
| 503 |
throw new \Exception('Rate limit exceeded. Please try again later.'); |
| 504 |
} |
| 505 |
|
| 506 |
$current_desc = (string) ($options['current_description'] ?? ''); |
| 507 |
$target_keyword = (string) ($options['target_keyword'] ?? ''); |
| 508 |
$content_type = (string) ($options['content_type'] ?? 'blog_post'); |
| 509 |
$tone = (string) ($options['tone'] ?? 'professional'); |
| 510 |
$suggestion = (string) ($options['suggestion'] ?? ''); |
| 511 |
|
| 512 |
// Cap content server-side (mirror the frontend 5000-char trim) so a |
| 513 |
// direct REST caller can't force oversized prompt/cache/AI work. |
| 514 |
$content = mb_substr($content, 0, 5000); |
| 515 |
|
| 516 |
$cache_key = 'improve_meta_' . md5($content . '|' . $current_desc . '|' . $target_keyword . '|' . $content_type . '|' . $tone . '|' . $suggestion); |
| 517 |
$cached_result = $this->cache->get($cache_key); |
| 518 |
if ($cached_result !== null) { |
| 519 |
return $cached_result['data'] ?? $cached_result; |
| 520 |
} |
| 521 |
|
| 522 |
$user_id = get_current_user_id(); |
| 523 |
$provider = method_exists($this->client, 'get_provider') ? $this->client->get_provider() : 'openai'; |
| 524 |
|
| 525 |
// The keyword must appear when the suggestion is keyword-specific, or |
| 526 |
// whenever a focus keyword exists (the scorer rewards it either way). |
| 527 |
$needs_keyword = $target_keyword !== ''; |
| 528 |
|
| 529 |
$build_prompt = fn() => (new Prompt_Builder())->build_meta_description_improvement_prompt( |
| 530 |
$content, |
| 531 |
$current_desc, |
| 532 |
$target_keyword, |
| 533 |
$content_type, |
| 534 |
$tone, |
| 535 |
$suggestion, |
| 536 |
$provider |
| 537 |
); |
| 538 |
|
| 539 |
$valid = function (string $desc) use ($needs_keyword, $target_keyword): bool { |
| 540 |
$len = mb_strlen($desc); |
| 541 |
if ($len < 120 || $len > 160) { |
| 542 |
return false; |
| 543 |
} |
| 544 |
if ($needs_keyword && strpos(strtolower($desc), strtolower($target_keyword)) === false) { |
| 545 |
return false; |
| 546 |
} |
| 547 |
return true; |
| 548 |
}; |
| 549 |
|
| 550 |
$prompt = $build_prompt(); |
| 551 |
// Larger budget so reasoning models don't truncate the JSON before the |
| 552 |
// description (which surfaced as "could not produce a 120-160 character |
| 553 |
// meta description" on gpt-5-nano). |
| 554 |
$completion = $this->request_completion($prompt, 4096); |
| 555 |
$description = $this->extract_json_field($completion['ai_text'], 'description'); |
| 556 |
$total_tokens = $completion['tokens']; |
| 557 |
$ai_text = $completion['ai_text']; |
| 558 |
|
| 559 |
// Retry once with explicit, measurable constraints if the first attempt |
| 560 |
// misses the mandatory length window or the required keyword. |
| 561 |
if (!$valid($description)) { |
| 562 |
$extra = "\n\nIMPORTANT: Your previous attempt did not meet the requirements. The description MUST be between 120 and 160 characters"; |
| 563 |
if ($needs_keyword) { |
| 564 |
$extra .= " and MUST contain the exact phrase \"{$target_keyword}\""; |
| 565 |
} |
| 566 |
$extra .= '. Count the characters before answering.'; |
| 567 |
$retry = $this->request_completion($prompt . $extra, 4096); |
| 568 |
$retry_desc = $this->extract_json_field($retry['ai_text'], 'description'); |
| 569 |
$total_tokens += $retry['tokens']; |
| 570 |
if ($retry['ai_text'] !== '') { |
| 571 |
$ai_text = $retry['ai_text']; |
| 572 |
} |
| 573 |
// Prefer a valid candidate; otherwise keep the longer non-empty one so |
| 574 |
// the clamp below can bring an over-long description into range. |
| 575 |
if ($valid($retry_desc)) { |
| 576 |
$description = $retry_desc; |
| 577 |
} elseif ($description === '') { |
| 578 |
$description = $retry_desc; |
| 579 |
} elseif (!$valid($description) && mb_strlen($retry_desc) > mb_strlen($description)) { |
| 580 |
$description = $retry_desc; |
| 581 |
} |
| 582 |
} |
| 583 |
|
| 584 |
// Hard safety net: guarantee the 160-character ceiling by trimming at a |
| 585 |
// word boundary, so the scorer's 120-160 technical check passes even if a |
| 586 |
// "thinking" model overran the limit. |
| 587 |
$description = $this->clamp_meta_description($description); |
| 588 |
|
| 589 |
if ($description === '' || mb_strlen($description) < 120) { |
| 590 |
throw new \Exception('The AI could not produce a 120-160 character meta description. Please try again.'); |
| 591 |
} |
| 592 |
|
| 593 |
$actual_model = $this->client ? $this->client->get_model() : null; |
| 594 |
$this->log_ai_usage($user_id, 'SEO Meta Description', (int) $total_tokens, $actual_model, $ai_text); |
| 595 |
|
| 596 |
$result = ['description' => $description]; |
| 597 |
$this->cache->set($cache_key, $result); |
| 598 |
|
| 599 |
return $result; |
| 600 |
} |
| 601 |
|
| 602 |
/** |
| 603 |
* Explain a single SEO score suggestion in plain, post-specific language. |
| 604 |
* |
| 605 |
* Powers the "Explain with AI" copilot action on each suggestion. Unlike the |
| 606 |
* improve_* methods this does not modify content — it returns a short, |
| 607 |
* context-aware explanation of why the suggestion matters for this post and |
| 608 |
* how to resolve it, so the author understands the fix before applying it. |
| 609 |
* |
| 610 |
* @since 1.18.0 |
| 611 |
* |
| 612 |
* @param string $content Post content for context. |
| 613 |
* @param array $options { |
| 614 |
* @type string $suggestion The suggestion to explain (required). |
| 615 |
* @type string $title Post/SEO title for context. |
| 616 |
* @type string $target_keyword Focus keyword. |
| 617 |
* @type string $content_type Content type (blog_post, page, …). |
| 618 |
* } |
| 619 |
* @return array{explanation:string} The plain-language explanation. |
| 620 |
* @throws \Exception If the AI client is unavailable or returns nothing usable. |
| 621 |
*/ |
| 622 |
public function explain_seo_suggestion(string $content, array $options = []): array { |
| 623 |
$this->ensure_ready_for_ai(); |
| 624 |
|
| 625 |
// Cap content server-side so a direct REST caller cannot bypass the |
| 626 |
// frontend's 5000-character trim and force oversized prompt building, |
| 627 |
// cache hashing, and expensive AI calls/retries. |
| 628 |
$content = mb_substr($content, 0, 5000); |
| 629 |
|
| 630 |
$suggestion = trim((string) ($options['suggestion'] ?? '')); |
| 631 |
if ($suggestion === '') { |
| 632 |
throw new \Exception('A suggestion is required to generate an explanation.'); |
| 633 |
} |
| 634 |
$title = (string) ($options['title'] ?? ''); |
| 635 |
$target_keyword = (string) ($options['target_keyword'] ?? ''); |
| 636 |
$content_type = (string) ($options['content_type'] ?? 'blog_post'); |
| 637 |
|
| 638 |
$cache_key = 'explain_' . md5($suggestion . '|' . $content . '|' . $title . '|' . $target_keyword . '|' . $content_type); |
| 639 |
$cached = $this->cache->get($cache_key); |
| 640 |
if ($cached !== null) { |
| 641 |
return $cached['data'] ?? $cached; |
| 642 |
} |
| 643 |
|
| 644 |
$provider = method_exists($this->client, 'get_provider') ? $this->client->get_provider() : 'openai'; |
| 645 |
$prompt = (new Prompt_Builder())->build_suggestion_explanation_prompt($suggestion, $content, $title, $target_keyword, $content_type, $provider); |
| 646 |
|
| 647 |
// Give reasoning models (e.g. gpt-5-nano) enough headroom that they don't |
| 648 |
// burn the whole budget "thinking" and truncate the JSON before the |
| 649 |
// closing brace, and retry once if the first attempt yields nothing |
| 650 |
// parseable — mirrors the resilience of the keyword-paragraph path. |
| 651 |
$explanation = ''; |
| 652 |
$tokens_used = 0; |
| 653 |
$ai_text = ''; |
| 654 |
for ($attempt = 0; $attempt < 2; $attempt++) { |
| 655 |
$completion = $this->request_completion($prompt, 4096); |
| 656 |
$tokens_used += (int) $completion['tokens']; |
| 657 |
$ai_text = $completion['ai_text']; |
| 658 |
$candidate = $this->extract_json_field($completion['ai_text'], 'explanation'); |
| 659 |
if ($candidate !== '') { |
| 660 |
$explanation = $candidate; |
| 661 |
break; |
| 662 |
} |
| 663 |
} |
| 664 |
|
| 665 |
if ($explanation === '') { |
| 666 |
throw new \Exception('The AI did not return an explanation. Please try again.'); |
| 667 |
} |
| 668 |
|
| 669 |
$actual_model = $this->client ? $this->client->get_model() : null; |
| 670 |
$this->log_ai_usage(get_current_user_id(), 'SEO Suggestion Explanation', (int) $tokens_used, $actual_model, $ai_text); |
| 671 |
|
| 672 |
$result = ['explanation' => $explanation]; |
| 673 |
$this->cache->set($cache_key, $result); |
| 674 |
|
| 675 |
return $result; |
| 676 |
} |
| 677 |
|
| 678 |
/** |
| 679 |
* Generate a targeted content fragment that adds one authoritative external |
| 680 |
* dofollow link, so the scorer's external-dofollow-link check passes. |
| 681 |
* |
| 682 |
* @since 1.14.0 |
| 683 |
* |
| 684 |
* @param string $content Post content for context. |
| 685 |
* @param array $options { @type string $target_keyword; @type string $content_type; } |
| 686 |
* @return array{html:string,url:string,anchor:string} HTML paragraph to append. |
| 687 |
* @throws \Exception If the AI client is unavailable or returns no valid link. |
| 688 |
*/ |
| 689 |
public function generate_dofollow_link(string $content, array $options = []): array { |
| 690 |
$this->ensure_ready_for_ai(); |
| 691 |
|
| 692 |
$target_keyword = (string) ($options['target_keyword'] ?? ''); |
| 693 |
$content_type = (string) ($options['content_type'] ?? 'blog_post'); |
| 694 |
|
| 695 |
// Cap content server-side (mirror the frontend 5000-char trim) so a |
| 696 |
// direct REST caller can't force oversized prompt/cache/AI work. |
| 697 |
$content = mb_substr($content, 0, 5000); |
| 698 |
|
| 699 |
$cache_key = 'dofollow_' . md5($content . '|' . $target_keyword . '|' . $content_type); |
| 700 |
$cached = $this->cache->get($cache_key); |
| 701 |
if ($cached !== null) { |
| 702 |
return $cached['data'] ?? $cached; |
| 703 |
} |
| 704 |
|
| 705 |
$provider = method_exists($this->client, 'get_provider') ? $this->client->get_provider() : 'openai'; |
| 706 |
$prompt = (new Prompt_Builder())->build_dofollow_link_prompt($content, $target_keyword, $content_type, $provider); |
| 707 |
|
| 708 |
// Larger budget + one retry: reasoning models can truncate the JSON and |
| 709 |
// yield no URL, which surfaced as "did not return a valid external |
| 710 |
// source" on the first attempt. |
| 711 |
$data = []; |
| 712 |
$tokens_used = 0; |
| 713 |
$ai_text = ''; |
| 714 |
for ($attempt = 0; $attempt < 2; $attempt++) { |
| 715 |
$completion = $this->request_completion($prompt, 4096); |
| 716 |
$tokens_used += (int) $completion['tokens']; |
| 717 |
$ai_text = $completion['ai_text']; |
| 718 |
$candidate = $this->extract_json_object($completion['ai_text']); |
| 719 |
if (is_array($candidate) && !empty($candidate['url'])) { |
| 720 |
$data = $candidate; |
| 721 |
break; |
| 722 |
} |
| 723 |
} |
| 724 |
|
| 725 |
$url = isset($data['url']) ? esc_url_raw(trim((string) $data['url'])) : ''; |
| 726 |
$anchor = isset($data['anchor']) ? sanitize_text_field((string) $data['anchor']) : ''; |
| 727 |
$sentence = isset($data['sentence']) ? sanitize_text_field((string) $data['sentence']) : ''; |
| 728 |
|
| 729 |
// Validate: must be a real external http(s) URL pointing off-site. |
| 730 |
$site_host = wp_parse_url(get_site_url(), PHP_URL_HOST); |
| 731 |
$link_host = $url !== '' ? wp_parse_url($url, PHP_URL_HOST) : ''; |
| 732 |
$is_external = $url !== '' && preg_match('#^https?://#i', $url) && $link_host && strcasecmp($link_host, (string) $site_host) !== 0; |
| 733 |
if (!$is_external) { |
| 734 |
throw new \Exception('The AI did not return a valid external source. Please try again.'); |
| 735 |
} |
| 736 |
if ($anchor === '') { |
| 737 |
$anchor = $link_host; |
| 738 |
} |
| 739 |
if ($sentence === '') { |
| 740 |
$sentence = sprintf('For more on this topic, see %s.', $anchor); |
| 741 |
} |
| 742 |
|
| 743 |
// Build a dofollow anchor (no rel=nofollow) and weave it into the |
| 744 |
// sentence by linking the anchor text; append it if the anchor phrase is |
| 745 |
// not present. |
| 746 |
$link = sprintf('<a href="%s">%s</a>', esc_url($url), esc_html($anchor)); |
| 747 |
if (stripos($sentence, $anchor) !== false) { |
| 748 |
$linked = preg_replace('/' . preg_quote($anchor, '/') . '/i', $link, $sentence, 1); |
| 749 |
} else { |
| 750 |
$linked = rtrim($sentence, '.') . ' (' . $link . ').'; |
| 751 |
} |
| 752 |
$html = '<p>' . $linked . '</p>'; |
| 753 |
|
| 754 |
$actual_model = $this->client ? $this->client->get_model() : null; |
| 755 |
$this->log_ai_usage(get_current_user_id(), 'SEO Dofollow Link', (int) $tokens_used, $actual_model, $ai_text); |
| 756 |
|
| 757 |
$result = ['html' => $html, 'url' => $url, 'anchor' => $anchor]; |
| 758 |
$this->cache->set($cache_key, $result); |
| 759 |
|
| 760 |
return $result; |
| 761 |
} |
| 762 |
|
| 763 |
/** |
| 764 |
* Generate a short, relevant closing paragraph that uses the focus keyword |
| 765 |
* enough times to lift keyword density into the scorer's healthy band |
| 766 |
* (0.5%-2.5%), returned as an HTML paragraph to append to the content. |
| 767 |
* |
| 768 |
* @since 1.14.0 |
| 769 |
* |
| 770 |
* @param string $content Post content for context. |
| 771 |
* @param array $options { |
| 772 |
* @type string $target_keyword; |
| 773 |
* @type string $content_type; |
| 774 |
* @type string $tone; |
| 775 |
* @type int $word_count Current document word count. |
| 776 |
* @type int $keyword_count Current focus-keyword occurrences. |
| 777 |
* } |
| 778 |
* @return array{html:string,mentions:int} HTML paragraph to append. |
| 779 |
* @throws \Exception If the AI client is unavailable or returns nothing usable. |
| 780 |
*/ |
| 781 |
public function generate_keyword_paragraph(string $content, array $options = []): array { |
| 782 |
$this->ensure_ready_for_ai(); |
| 783 |
|
| 784 |
$target_keyword = trim((string) ($options['target_keyword'] ?? '')); |
| 785 |
if ($target_keyword === '') { |
| 786 |
throw new \Exception('A focus keyword is required to improve keyword density.'); |
| 787 |
} |
| 788 |
$content_type = (string) ($options['content_type'] ?? 'blog_post'); |
| 789 |
$tone = (string) ($options['tone'] ?? 'professional'); |
| 790 |
$word_count = max(0, (int) ($options['word_count'] ?? 0)); |
| 791 |
$keyword_count = max(0, (int) ($options['keyword_count'] ?? 0)); |
| 792 |
|
| 793 |
// Size the closing section to land just above the 0.5% floor. Solving |
| 794 |
// (kw + m) / (words + W) >= target for a section that uses ~14 words per |
| 795 |
// keyword mention (W = 14m) keeps the writing readable rather than |
| 796 |
// stuffed. Cap mentions so a very long, sparse article doesn't demand an |
| 797 |
// absurd block — in that case one pass improves density without fully |
| 798 |
// resolving it, which the caller surfaces honestly. |
| 799 |
// Target a bit above the 0.5% floor and assume a tight ~11 words per |
| 800 |
// mention when sizing the request, because models tend to under-deliver |
| 801 |
// mentions and over-write length — both of which dilute density. The cap |
| 802 |
// keeps very long, sparse posts from demanding an absurd block; those may |
| 803 |
// still need a second pass, which the caller surfaces honestly. |
| 804 |
$target_density = 0.0065; |
| 805 |
$words_per_mention = 11; |
| 806 |
$denom_factor = 1 - ($target_density * $words_per_mention); // ~0.928 |
| 807 |
$needed = $denom_factor > 0 |
| 808 |
? ($target_density * $word_count - $keyword_count) / $denom_factor |
| 809 |
: 4; |
| 810 |
$mentions = (int) max(3, min(24, ceil($needed))); |
| 811 |
$para_words = max(90, $mentions * $words_per_mention); |
| 812 |
|
| 813 |
// Cap content server-side (mirror the frontend 5000-char trim) so a |
| 814 |
// direct REST caller can't force oversized prompt/cache/AI work. |
| 815 |
$content = mb_substr($content, 0, 5000); |
| 816 |
|
| 817 |
$cache_key = 'kw_para_' . md5($content . '|' . $target_keyword . '|' . $content_type . '|' . $tone . '|' . $mentions . '|' . $para_words); |
| 818 |
$cached = $this->cache->get($cache_key); |
| 819 |
if ($cached !== null) { |
| 820 |
return $cached['data'] ?? $cached; |
| 821 |
} |
| 822 |
|
| 823 |
$provider = method_exists($this->client, 'get_provider') ? $this->client->get_provider() : 'openai'; |
| 824 |
$prompt = (new Prompt_Builder())->build_keyword_paragraph_prompt($content, $target_keyword, $content_type, $tone, $mentions, $provider, $para_words); |
| 825 |
|
| 826 |
// Bigger token budget: the section is long and thinking models burn |
| 827 |
// output tokens reasoning before writing the JSON. Generation can be |
| 828 |
// truncated intermittently, yielding a stub — validate and retry once so |
| 829 |
// we never apply (or cache) a degenerate paragraph. |
| 830 |
$paragraph = ''; |
| 831 |
$tokens_used = 0; |
| 832 |
$ai_text = ''; |
| 833 |
for ($attempt = 0; $attempt < 2; $attempt++) { |
| 834 |
$completion = $this->request_completion($prompt, 4096); |
| 835 |
$tokens_used += (int) $completion['tokens']; |
| 836 |
$ai_text = $completion['ai_text']; |
| 837 |
$candidate = $this->extract_json_field($completion['ai_text'], 'paragraph'); |
| 838 |
if (str_word_count(wp_strip_all_tags($candidate)) >= 40) { |
| 839 |
$paragraph = $candidate; |
| 840 |
break; |
| 841 |
} |
| 842 |
} |
| 843 |
if ($paragraph === '') { |
| 844 |
throw new \Exception('The AI did not return a usable paragraph. Please try again.'); |
| 845 |
} |
| 846 |
|
| 847 |
// wp_kses keeps it to safe inline markup; wrap as a paragraph block. |
| 848 |
$paragraph = wp_kses($paragraph, ['a' => ['href' => [], 'title' => []], 'strong' => [], 'em' => []]); |
| 849 |
$html = '<p>' . $paragraph . '</p>'; |
| 850 |
|
| 851 |
// Report the density this addition achieves so the UI can tell the user |
| 852 |
// whether the check is now satisfied or needs another pass. |
| 853 |
$added_words = str_word_count(wp_strip_all_tags($paragraph)); |
| 854 |
$added_mentions = substr_count(strtolower(wp_strip_all_tags($paragraph)), strtolower($target_keyword)); |
| 855 |
$new_density = ($word_count + $added_words) > 0 |
| 856 |
? (($keyword_count + $added_mentions) / ($word_count + $added_words)) * 100 |
| 857 |
: 0.0; |
| 858 |
$resolves = $new_density >= 0.5 && $new_density <= 2.5; |
| 859 |
|
| 860 |
$actual_model = $this->client ? $this->client->get_model() : null; |
| 861 |
$this->log_ai_usage(get_current_user_id(), 'SEO Keyword Paragraph', $tokens_used, $actual_model, $ai_text); |
| 862 |
|
| 863 |
$result = [ |
| 864 |
'html' => $html, |
| 865 |
'mentions' => $added_mentions, |
| 866 |
'new_density' => round($new_density, 2), |
| 867 |
'resolves' => $resolves, |
| 868 |
]; |
| 869 |
$this->cache->set($cache_key, $result); |
| 870 |
|
| 871 |
return $result; |
| 872 |
} |
| 873 |
|
| 874 |
/** |
| 875 |
* Shared guard for the lightweight AI helpers: ensure a client is available, |
| 876 |
* the user has an API key, and the per-minute rate limit is not exceeded. |
| 877 |
* |
| 878 |
* @throws \Exception When any precondition fails. |
| 879 |
*/ |
| 880 |
private function ensure_ready_for_ai(): void { |
| 881 |
if (!$this->client) { |
| 882 |
$this->initialize_client(); |
| 883 |
if (!$this->client) { |
| 884 |
throw new \Exception($this->get_client_unavailable_message()); |
| 885 |
} |
| 886 |
} |
| 887 |
$user_has_api_key = !empty($this->settings->get('openai_api_key')) || !empty($this->settings->get('claude_api_key')) || !empty($this->settings->get('gemini_api_key')) || !empty($this->settings->get('openrouter_api_key')); |
| 888 |
if (!$user_has_api_key) { |
| 889 |
throw new \Exception($this->get_client_unavailable_message()); |
| 890 |
} |
| 891 |
if (!$this->check_rate_limit()) { |
| 892 |
throw new \Exception('Rate limit exceeded. Please try again later.'); |
| 893 |
} |
| 894 |
} |
| 895 |
|
| 896 |
/** |
| 897 |
* Decode the first JSON object found in an AI response. |
| 898 |
* |
| 899 |
* @param string $ai_text Raw AI text. |
| 900 |
* @return array|null Decoded object, or null if none parses. |
| 901 |
*/ |
| 902 |
private function extract_json_object(string $ai_text): ?array { |
| 903 |
$json_start = strpos($ai_text, '{'); |
| 904 |
$json_end = strrpos($ai_text, '}'); |
| 905 |
if ($json_start === false || $json_end === false || $json_end <= $json_start) { |
| 906 |
return null; |
| 907 |
} |
| 908 |
$decoded = json_decode(substr($ai_text, $json_start, $json_end - $json_start + 1), true); |
| 909 |
return is_array($decoded) ? $decoded : null; |
| 910 |
} |
| 911 |
|
| 912 |
/** |
| 913 |
* Send one prompt to the configured provider and return the raw text plus |
| 914 |
* token usage, normalising across provider response shapes (mirrors the |
| 915 |
* content brief generator's multi-provider handling). |
| 916 |
* |
| 917 |
* @param string $prompt The prompt to send. |
| 918 |
* @return array{ai_text:string,tokens:int} |
| 919 |
*/ |
| 920 |
private function request_completion(string $prompt, int $max_tokens = 2048): array { |
| 921 |
// "Thinking" providers (e.g. Gemini 2.5) spend output tokens on reasoning |
| 922 |
// before emitting text, so the cap must cover both the reasoning and the |
| 923 |
// visible JSON. Longer outputs (paragraphs) need a bigger budget. It's |
| 924 |
// only a ceiling — short replies cost no more. |
| 925 |
$response = $this->client->generate_completion($prompt, [ |
| 926 |
'max_tokens' => $max_tokens, |
| 927 |
'temperature' => 0.4, |
| 928 |
]); |
| 929 |
|
| 930 |
$ai_text = ''; |
| 931 |
if (isset($response['choices'][0]['message']['content'])) { |
| 932 |
$ai_text = is_array($response['choices'][0]['message']['content']) |
| 933 |
? implode(' ', array_map(static fn($part) => is_array($part) ? ($part['text'] ?? '') : (string) $part, $response['choices'][0]['message']['content'])) |
| 934 |
: (string) $response['choices'][0]['message']['content']; |
| 935 |
} elseif (isset($response['content'][0]['text'])) { |
| 936 |
$ai_text = (string) $response['content'][0]['text']; |
| 937 |
} elseif (isset($response['candidates'][0]['content']['parts'][0]['text'])) { |
| 938 |
$ai_text = (string) $response['candidates'][0]['content']['parts'][0]['text']; |
| 939 |
} elseif (isset($response['content']) && is_string($response['content'])) { |
| 940 |
$ai_text = $response['content']; |
| 941 |
} |
| 942 |
|
| 943 |
$tokens = $response['usage']['total_tokens'] |
| 944 |
?? $response['usage']['output_tokens'] |
| 945 |
?? ($response['usageMetadata']['totalTokenCount'] ?? 0); |
| 946 |
|
| 947 |
return ['ai_text' => $ai_text, 'tokens' => (int) $tokens]; |
| 948 |
} |
| 949 |
|
| 950 |
/** |
| 951 |
* Trim a meta description to at most 160 characters at a word boundary, |
| 952 |
* preserving sentence-ish endings and avoiding broken words. Descriptions of |
| 953 |
* 160 characters or fewer are returned unchanged. |
| 954 |
* |
| 955 |
* @param string $desc Meta description. |
| 956 |
* @return string Description clamped to <= 160 characters. |
| 957 |
*/ |
| 958 |
private function clamp_meta_description(string $desc): string { |
| 959 |
$desc = trim($desc); |
| 960 |
if (mb_strlen($desc) <= 160) { |
| 961 |
return $desc; |
| 962 |
} |
| 963 |
|
| 964 |
$cut = mb_substr($desc, 0, 160); |
| 965 |
$last_space = mb_strrpos($cut, ' '); |
| 966 |
// Only back off to the last space when doing so keeps us at/above 120. |
| 967 |
if ($last_space !== false && $last_space >= 120) { |
| 968 |
$cut = mb_substr($cut, 0, $last_space); |
| 969 |
} |
| 970 |
|
| 971 |
return rtrim($cut, " \t\n\r\0\x0B,;:-"); |
| 972 |
} |
| 973 |
|
| 974 |
/** |
| 975 |
* Whether a title contains any of the given words, using the same |
| 976 |
* case-insensitive substring match the scorer's title checks use. |
| 977 |
* |
| 978 |
* @param string $title Title to test. |
| 979 |
* @param string[] $words Words to look for. |
| 980 |
* @return bool |
| 981 |
*/ |
| 982 |
private function title_contains_word(string $title, array $words): bool { |
| 983 |
$title_lower = strtolower($title); |
| 984 |
foreach ($words as $word) { |
| 985 |
if ($word !== '' && strpos($title_lower, strtolower($word)) !== false) { |
| 986 |
return true; |
| 987 |
} |
| 988 |
} |
| 989 |
return false; |
| 990 |
} |
| 991 |
|
| 992 |
/** |
| 993 |
* Pull a named string field out of an AI response, tolerating both JSON and |
| 994 |
* plain-text replies. |
| 995 |
* |
| 996 |
* @param string $ai_text Raw AI text. |
| 997 |
* @param string $field JSON field to read (e.g. 'title', 'description'). |
| 998 |
* @return string Sanitized value (without surrounding quotes), or '' on failure. |
| 999 |
*/ |
| 1000 |
private function extract_json_field(string $ai_text, string $field): string { |
| 1001 |
$ai_text = trim($ai_text); |
| 1002 |
if ($ai_text === '') { |
| 1003 |
return ''; |
| 1004 |
} |
| 1005 |
|
| 1006 |
// Prefer a JSON object with the requested field. |
| 1007 |
$json_start = strpos($ai_text, '{'); |
| 1008 |
$json_end = strrpos($ai_text, '}'); |
| 1009 |
if ($json_start !== false && $json_end !== false && $json_end > $json_start) { |
| 1010 |
$decoded = json_decode(substr($ai_text, $json_start, $json_end - $json_start + 1), true); |
| 1011 |
if (is_array($decoded) && !empty($decoded[$field])) { |
| 1012 |
return sanitize_text_field(trim((string) $decoded[$field], " \t\n\r\0\x0B\"'")); |
| 1013 |
} |
| 1014 |
} |
| 1015 |
|
| 1016 |
// Fall back to the first non-empty line, stripping wrapping quotes. |
| 1017 |
$first_line = strtok($ai_text, "\n"); |
| 1018 |
return sanitize_text_field(trim((string) $first_line, " \t\n\r\0\x0B\"'")); |
| 1019 |
} |
| 1020 |
|
| 1021 |
/** |
| 1022 |
* Analyze content for SEO optimization |
| 1023 |
* |
| 1024 |
* @param string $content Content to analyze |
| 1025 |
* @param array $metadata Existing metadata |
| 1026 |
* @return array Analysis results |
| 1027 |
* @throws \Exception If analysis fails |
| 1028 |
*/ |
| 1029 |
public function analyze_content(string $content, array $metadata = []): array { |
| 1030 |
if (!$this->client) { |
| 1031 |
throw new \Exception($this->get_client_unavailable_message()); |
| 1032 |
} |
| 1033 |
|
| 1034 |
$user_id = get_current_user_id(); |
| 1035 |
|
| 1036 |
// Ensure user has configured their API key |
| 1037 |
$user_has_api_key = !empty($this->settings->get('openai_api_key')) || !empty($this->settings->get('claude_api_key')) || !empty($this->settings->get('gemini_api_key')) || !empty($this->settings->get('openrouter_api_key')); |
| 1038 |
|
| 1039 |
if (!$user_has_api_key) { |
| 1040 |
throw new \Exception($this->get_client_unavailable_message()); |
| 1041 |
} |
| 1042 |
|
| 1043 |
// Check rate limits |
| 1044 |
if (!$this->check_rate_limit($user_id, 'content_analysis')) { |
| 1045 |
throw new \Exception('Rate limit exceeded. Please try again later.'); |
| 1046 |
} |
| 1047 |
|
| 1048 |
// Check cache first |
| 1049 |
$cache_key = 'content_analysis_' . md5($content . serialize($metadata)); |
| 1050 |
$cached_result = $this->cache->get($cache_key); |
| 1051 |
if ($cached_result) { |
| 1052 |
return $cached_result['data'] ?? $cached_result; |
| 1053 |
} |
| 1054 |
|
| 1055 |
try { |
| 1056 |
// Analyze content using AI |
| 1057 |
$analysis = $this->client->analyze_content($content, $metadata); |
| 1058 |
|
| 1059 |
// Cache the result |
| 1060 |
$this->cache->set($cache_key, $analysis); |
| 1061 |
|
| 1062 |
// Log usage with actual model information and raw AI text (Content Brief pattern) |
| 1063 |
$actual_model = $this->client ? $this->client->get_model() : null; |
| 1064 |
$ai_text = $analysis['_ai_text'] ?? null; |
| 1065 |
$this->log_ai_usage($user_id, 'Content Analysis', $analysis['tokens_used'] ?? 0, $actual_model, $ai_text); |
| 1066 |
|
| 1067 |
// Remove AI text from returned data to keep it clean |
| 1068 |
unset($analysis['_ai_text']); |
| 1069 |
|
| 1070 |
return $analysis; |
| 1071 |
|
| 1072 |
} catch (\Exception $e) { |
| 1073 |
throw $e; |
| 1074 |
} |
| 1075 |
} |
| 1076 |
|
| 1077 |
/** |
| 1078 |
* Test API connection |
| 1079 |
* |
| 1080 |
* @return array Test result |
| 1081 |
*/ |
| 1082 |
public function test_api_connection(): array { |
| 1083 |
if (!$this->client) { |
| 1084 |
return [ |
| 1085 |
'success' => false, |
| 1086 |
'message' => $this->get_client_unavailable_message(), |
| 1087 |
]; |
| 1088 |
} |
| 1089 |
|
| 1090 |
try { |
| 1091 |
$success = $this->client->test_connection(); |
| 1092 |
|
| 1093 |
return [ |
| 1094 |
'success' => $success, |
| 1095 |
'message' => $success |
| 1096 |
? 'API connection successful!' |
| 1097 |
: 'API connection failed. Please check your API key.', |
| 1098 |
]; |
| 1099 |
|
| 1100 |
} catch (\Exception $e) { |
| 1101 |
return [ |
| 1102 |
'success' => false, |
| 1103 |
'message' => 'Connection test failed: ' . $e->getMessage(), |
| 1104 |
]; |
| 1105 |
} |
| 1106 |
} |
| 1107 |
|
| 1108 |
/** |
| 1109 |
* Optimize site identity using AI |
| 1110 |
* |
| 1111 |
* @since 1.0.0 |
| 1112 |
* |
| 1113 |
* @param array $site_data Site data to optimize |
| 1114 |
* @param array $options Optimization options |
| 1115 |
* @return array Optimization results |
| 1116 |
* @throws \Exception If optimization fails |
| 1117 |
*/ |
| 1118 |
public function optimize_site_identity(array $site_data, array $options = []): array { |
| 1119 |
// Validate input |
| 1120 |
if (empty($site_data)) { |
| 1121 |
throw new \Exception('Site data cannot be empty'); |
| 1122 |
} |
| 1123 |
|
| 1124 |
$user_id = get_current_user_id(); |
| 1125 |
|
| 1126 |
// Ensure user has configured their API key |
| 1127 |
$user_has_api_key = !empty($this->settings->get('openai_api_key')) || !empty($this->settings->get('claude_api_key')) || !empty($this->settings->get('gemini_api_key')) || !empty($this->settings->get('openrouter_api_key')); |
| 1128 |
|
| 1129 |
if (!$user_has_api_key) { |
| 1130 |
throw new \Exception($this->get_client_unavailable_message()); |
| 1131 |
} |
| 1132 |
|
| 1133 |
// Generate cache key using existing pattern |
| 1134 |
$cache_key = 'site_identity_' . md5(serialize($site_data) . serialize($options)) . '_' . $user_id; |
| 1135 |
|
| 1136 |
// Check existing cache infrastructure |
| 1137 |
// Cache_Manager::set() wraps entries as ['data' => …], so unwrap |
| 1138 |
// before inspecting — checking optimized_data on the wrapped array |
| 1139 |
// never matches and the cache would never hit. |
| 1140 |
$cached_result = $this->cache->get($cache_key); |
| 1141 |
$cached_result = $cached_result['data'] ?? $cached_result; |
| 1142 |
if (!empty($cached_result['optimized_data'])) { |
| 1143 |
return $cached_result; |
| 1144 |
} |
| 1145 |
|
| 1146 |
// Check rate limiting |
| 1147 |
if (!$this->check_rate_limit()) { |
| 1148 |
throw new \Exception('Rate limit exceeded for AI optimization requests.'); |
| 1149 |
} |
| 1150 |
|
| 1151 |
// Get AI client |
| 1152 |
$client = $this->get_client(); |
| 1153 |
|
| 1154 |
if (!$client) { |
| 1155 |
throw new \Exception($this->get_client_unavailable_message()); |
| 1156 |
} |
| 1157 |
|
| 1158 |
// Perform AI optimization |
| 1159 |
$optimization_results = $client->optimize_site_identity($site_data, $options); |
| 1160 |
|
| 1161 |
// Validate that we got meaningful results |
| 1162 |
if (empty($optimization_results) || empty($optimization_results['optimized_data'])) { |
| 1163 |
throw new \Exception('AI optimization returned empty results. Please try again.'); |
| 1164 |
} |
| 1165 |
|
| 1166 |
// Add metadata |
| 1167 |
$optimization_results['ai_model'] = $client->get_model(); |
| 1168 |
$optimization_results['provider'] = $this->settings->get('ai_provider', 'openai'); |
| 1169 |
$optimization_results['generated_at'] = gmdate('Y-m-d H:i:s'); |
| 1170 |
$optimization_results['user_id'] = $user_id; |
| 1171 |
|
| 1172 |
// Cache the results (24 hours) |
| 1173 |
$this->cache->set($cache_key, $optimization_results, 86400); |
| 1174 |
|
| 1175 |
// Record usage with actual model information and raw AI text (Content Brief pattern) |
| 1176 |
$actual_model = $optimization_results['ai_model'] ?? ($client ? $client->get_model() : null); |
| 1177 |
$ai_text = $optimization_results['_ai_text'] ?? null; |
| 1178 |
$this->log_ai_usage($user_id, 'Site Identity Optimization', $optimization_results['tokens_used'] ?? 0, $actual_model, $ai_text); |
| 1179 |
|
| 1180 |
// Remove AI text from returned data to keep it clean |
| 1181 |
unset($optimization_results['_ai_text']); |
| 1182 |
|
| 1183 |
return $optimization_results; |
| 1184 |
} |
| 1185 |
|
| 1186 |
/** |
| 1187 |
* Optimize LLMs.txt content using AI |
| 1188 |
* |
| 1189 |
* @since 1.0.0 |
| 1190 |
* |
| 1191 |
* @param array $website_data Website data to optimize |
| 1192 |
* @param array $options Optimization options |
| 1193 |
* @return array Optimization results |
| 1194 |
* @throws \Exception If optimization fails |
| 1195 |
*/ |
| 1196 |
public function optimize_llms_txt(array $website_data, array $options = []): array { |
| 1197 |
// Validate input |
| 1198 |
if (empty($website_data)) { |
| 1199 |
throw new \Exception('Website data cannot be empty'); |
| 1200 |
} |
| 1201 |
|
| 1202 |
$user_id = get_current_user_id(); |
| 1203 |
|
| 1204 |
// Ensure user has configured their API key |
| 1205 |
$user_has_api_key = !empty($this->settings->get('openai_api_key')) || !empty($this->settings->get('claude_api_key')) || !empty($this->settings->get('gemini_api_key')) || !empty($this->settings->get('openrouter_api_key')); |
| 1206 |
|
| 1207 |
if (!$user_has_api_key) { |
| 1208 |
throw new \Exception($this->get_client_unavailable_message()); |
| 1209 |
} |
| 1210 |
|
| 1211 |
// Generate cache key |
| 1212 |
$cache_key = 'llms_txt_' . md5(serialize($website_data) . serialize($options)) . '_' . $user_id; |
| 1213 |
|
| 1214 |
// Check cache first |
| 1215 |
// Cache_Manager::set() wraps entries as ['data' => …], so unwrap |
| 1216 |
// before inspecting — checking optimized_data on the wrapped array |
| 1217 |
// never matches and the cache would never hit. |
| 1218 |
$cached_result = $this->cache->get($cache_key); |
| 1219 |
$cached_result = $cached_result['data'] ?? $cached_result; |
| 1220 |
if (!empty($cached_result['optimized_data'])) { |
| 1221 |
return $cached_result; |
| 1222 |
} |
| 1223 |
|
| 1224 |
// Check rate limiting |
| 1225 |
if (!$this->check_rate_limit()) { |
| 1226 |
throw new \Exception('Rate limit exceeded for AI optimization requests.'); |
| 1227 |
} |
| 1228 |
|
| 1229 |
// Get AI client |
| 1230 |
$client = $this->get_client(); |
| 1231 |
|
| 1232 |
if (!$client) { |
| 1233 |
throw new \Exception($this->get_client_unavailable_message()); |
| 1234 |
} |
| 1235 |
|
| 1236 |
// Perform AI optimization |
| 1237 |
$optimization_results = $client->optimize_llms_txt($website_data, $options); |
| 1238 |
|
| 1239 |
// Validate that we got meaningful results |
| 1240 |
if (empty($optimization_results) || empty($optimization_results['optimized_data'])) { |
| 1241 |
throw new \Exception('AI optimization returned empty results. Please try again.'); |
| 1242 |
} |
| 1243 |
|
| 1244 |
// Add metadata |
| 1245 |
$optimization_results['ai_model'] = $client->get_model(); |
| 1246 |
$optimization_results['provider'] = $this->settings->get('ai_provider', 'openai'); |
| 1247 |
$optimization_results['generated_at'] = gmdate('Y-m-d H:i:s'); |
| 1248 |
$optimization_results['user_id'] = $user_id; |
| 1249 |
|
| 1250 |
// Cache the results (24 hours) |
| 1251 |
$this->cache->set($cache_key, $optimization_results, 86400); |
| 1252 |
|
| 1253 |
// Record usage with actual model information and raw AI text (Content Brief pattern) |
| 1254 |
$actual_model = $optimization_results['ai_model'] ?? ($client ? $client->get_model() : null); |
| 1255 |
$ai_text = $optimization_results['_ai_text'] ?? null; |
| 1256 |
$this->log_ai_usage($user_id, 'LLMs.txt Optimization', $optimization_results['tokens_used'] ?? 0, $actual_model, $ai_text); |
| 1257 |
|
| 1258 |
// Remove AI text from returned data to keep it clean |
| 1259 |
unset($optimization_results['_ai_text']); |
| 1260 |
|
| 1261 |
return $optimization_results; |
| 1262 |
} |
| 1263 |
|
| 1264 |
/** |
| 1265 |
* Get available AI providers |
| 1266 |
* |
| 1267 |
* @return array Available providers |
| 1268 |
*/ |
| 1269 |
public function get_available_providers(): array { |
| 1270 |
return [ |
| 1271 |
'openai' => [ |
| 1272 |
'name' => 'OpenAI', |
| 1273 |
'description' => 'GPT‑5 series and GPT‑4o', |
| 1274 |
'models' => ['gpt-5-nano', 'gpt-5-mini', 'gpt-5', 'gpt-4o'], |
| 1275 |
'requires_key' => true, |
| 1276 |
], |
| 1277 |
'claude' => [ |
| 1278 |
'name' => 'Claude (Anthropic)', |
| 1279 |
'description' => 'Claude Opus 4.8, Sonnet 5, and Haiku 4.5', |
| 1280 |
'models' => ['claude-opus-4-8', 'claude-sonnet-5', 'claude-haiku-4-5'], |
| 1281 |
'requires_key' => true, |
| 1282 |
], |
| 1283 |
'gemini' => [ |
| 1284 |
'name' => 'Google Gemini', |
| 1285 |
'description' => 'Gemini 3.x and 2.x models', |
| 1286 |
'models' => ['gemini-3.1-pro', 'gemini-3.5-flash', 'gemini-3.1-flash-lite', 'gemini-2.5-flash', 'gemini-2.5-flash-lite', 'gemini-2.5-pro', 'gemini-2.0-flash', 'gemini-1.5-flash'], |
| 1287 |
'requires_key' => true, |
| 1288 |
], |
| 1289 |
'openrouter' => [ |
| 1290 |
'name' => 'OpenRouter', |
| 1291 |
'description' => 'Unified access to many models via one key', |
| 1292 |
'models' => ['openai/gpt-4o-mini', 'anthropic/claude-3.5-sonnet', 'google/gemini-2.0-flash-001', 'meta-llama/llama-3.3-70b-instruct', 'deepseek/deepseek-chat'], |
| 1293 |
'requires_key' => true, |
| 1294 |
], |
| 1295 |
]; |
| 1296 |
} |
| 1297 |
|
| 1298 |
/** |
| 1299 |
* Get current provider status |
| 1300 |
* |
| 1301 |
* @return array Provider status |
| 1302 |
*/ |
| 1303 |
public function get_provider_status(): array { |
| 1304 |
$provider = $this->settings->get('ai_provider', 'openai'); |
| 1305 |
$api_key = $this->settings->get($provider . '_api_key'); |
| 1306 |
|
| 1307 |
return [ |
| 1308 |
'provider' => $provider, |
| 1309 |
'configured' => !empty($api_key), |
| 1310 |
'connected' => $this->client !== null, |
| 1311 |
]; |
| 1312 |
} |
| 1313 |
|
| 1314 |
/** |
| 1315 |
* AJAX handler for generating metadata |
| 1316 |
* |
| 1317 |
* @return void |
| 1318 |
*/ |
| 1319 |
public function ajax_generate_metadata(): void { |
| 1320 |
// Verify nonce |
| 1321 |
$nonce = sanitize_text_field(wp_unslash($_POST['nonce'] ?? '')); |
| 1322 |
if (!wp_verify_nonce($nonce, 'thinkrank_ai_nonce')) { |
| 1323 |
wp_die('Security check failed'); |
| 1324 |
} |
| 1325 |
|
| 1326 |
// Check permissions |
| 1327 |
if (!current_user_can('edit_posts')) { |
| 1328 |
wp_die('Insufficient permissions'); |
| 1329 |
} |
| 1330 |
|
| 1331 |
$content = sanitize_textarea_field(wp_unslash($_POST['content'] ?? '')); |
| 1332 |
$options = [ |
| 1333 |
'target_keyword' => sanitize_text_field(wp_unslash($_POST['target_keyword'] ?? '')), |
| 1334 |
'content_type' => sanitize_text_field(wp_unslash($_POST['content_type'] ?? 'blog_post')), |
| 1335 |
'tone' => sanitize_text_field(wp_unslash($_POST['tone'] ?? 'professional')), |
| 1336 |
]; |
| 1337 |
|
| 1338 |
try { |
| 1339 |
$metadata = $this->generate_seo_metadata($content, $options); |
| 1340 |
|
| 1341 |
wp_send_json_success([ |
| 1342 |
'metadata' => $metadata, |
| 1343 |
'message' => __('SEO metadata generated successfully!', 'thinkrank'), |
| 1344 |
]); |
| 1345 |
|
| 1346 |
} catch (\Exception $e) { |
| 1347 |
wp_send_json_error([ |
| 1348 |
'message' => $e->getMessage(), |
| 1349 |
]); |
| 1350 |
} |
| 1351 |
} |
| 1352 |
|
| 1353 |
/** |
| 1354 |
* AJAX handler for testing API connection |
| 1355 |
* |
| 1356 |
* @return void |
| 1357 |
*/ |
| 1358 |
public function ajax_test_connection(): void { |
| 1359 |
// Verify nonce |
| 1360 |
$nonce = sanitize_text_field(wp_unslash($_POST['nonce'] ?? '')); |
| 1361 |
if (!wp_verify_nonce($nonce, 'thinkrank_ai_nonce')) { |
| 1362 |
wp_die('Security check failed'); |
| 1363 |
} |
| 1364 |
|
| 1365 |
// Check permissions |
| 1366 |
if (!current_user_can('manage_options')) { |
| 1367 |
wp_die('Insufficient permissions'); |
| 1368 |
} |
| 1369 |
|
| 1370 |
$result = $this->test_api_connection(); |
| 1371 |
|
| 1372 |
if ($result['success']) { |
| 1373 |
wp_send_json_success($result); |
| 1374 |
} else { |
| 1375 |
wp_send_json_error($result); |
| 1376 |
} |
| 1377 |
} |
| 1378 |
|
| 1379 |
/** |
| 1380 |
* Check rate limits. |
| 1381 |
* |
| 1382 |
* Backed by a per-minute transient counter so the limit is enforced across |
| 1383 |
* requests. A fresh Manager is constructed on every AJAX/REST call, so the |
| 1384 |
* previous in-memory array always started empty and never limited anything — |
| 1385 |
* letting an edit_posts user loop the metadata AJAX and drive unbounded paid |
| 1386 |
* AI-provider spend. |
| 1387 |
* |
| 1388 |
* @param int|null $user_id Optional user id (defaults to the current user). |
| 1389 |
* @param string $context Rate-limit bucket (keeps distinct flows separate). |
| 1390 |
* @return bool True if within limits. |
| 1391 |
*/ |
| 1392 |
private function check_rate_limit(?int $user_id = null, string $context = 'ai'): bool { |
| 1393 |
$user_id = $user_id ?? get_current_user_id(); |
| 1394 |
$max_requests = (int) $this->settings->get('max_requests_per_minute', 10); |
| 1395 |
|
| 1396 |
// A non-positive limit means "unlimited". |
| 1397 |
if ($max_requests <= 0) { |
| 1398 |
return true; |
| 1399 |
} |
| 1400 |
|
| 1401 |
// Counter is keyed to the current wall-clock minute; the transient TTL |
| 1402 |
// lets the window roll over on its own. |
| 1403 |
$minute_key = "thinkrank_ai_rate_{$context}_{$user_id}_" . floor(time() / MINUTE_IN_SECONDS); |
| 1404 |
$attempts = (int) get_transient($minute_key); |
| 1405 |
|
| 1406 |
if ($attempts >= $max_requests) { |
| 1407 |
return false; |
| 1408 |
} |
| 1409 |
|
| 1410 |
set_transient($minute_key, $attempts + 1, MINUTE_IN_SECONDS); |
| 1411 |
|
| 1412 |
return true; |
| 1413 |
} |
| 1414 |
|
| 1415 |
|
| 1416 |
|
| 1417 |
/** |
| 1418 |
* Log AI usage with actual model information |
| 1419 |
* |
| 1420 |
* @param int $user_id User ID |
| 1421 |
* @param string $action Action performed |
| 1422 |
* @param int $tokens_used Tokens consumed |
| 1423 |
* @param string|null $actual_model Actual model used (from AI response) |
| 1424 |
* @param string|null $raw_response Raw AI response for debugging |
| 1425 |
* @return void |
| 1426 |
*/ |
| 1427 |
private function log_ai_usage(int $user_id, string $action, int $tokens_used, ?string $actual_model = null, ?string $raw_response = null): void { |
| 1428 |
global $wpdb; |
| 1429 |
|
| 1430 |
$table_name = $wpdb->prefix . 'thinkrank_ai_usage'; |
| 1431 |
|
| 1432 |
// Prepare metadata with actual model information and raw response |
| 1433 |
$metadata = []; |
| 1434 |
if ($actual_model) { |
| 1435 |
$metadata['actual_model'] = $actual_model; |
| 1436 |
} |
| 1437 |
if ($raw_response) { |
| 1438 |
$metadata['raw_response'] = $raw_response; |
| 1439 |
} |
| 1440 |
|
| 1441 |
// phpcs:ignore WordPress.DB.DirectDatabaseQuery.DirectQuery,WordPress.DB.DirectDatabaseQuery.NoCaching, PluginCheck.Security.DirectDB.UnescapedDBParameter -- AI usage logging requires direct database access |
| 1442 |
$wpdb->insert( |
| 1443 |
$table_name, |
| 1444 |
[ |
| 1445 |
'user_id' => $user_id, |
| 1446 |
'action' => $action, |
| 1447 |
'tokens_used' => $tokens_used, |
| 1448 |
'provider' => $this->settings->get('ai_provider', 'openai'), |
| 1449 |
'metadata' => !empty($metadata) ? wp_json_encode($metadata) : null, |
| 1450 |
'created_at' => current_time('mysql'), |
| 1451 |
], |
| 1452 |
['%d', '%s', '%d', '%s', '%s', '%s'] |
| 1453 |
); |
| 1454 |
} |
| 1455 |
|
| 1456 |
/** |
| 1457 |
* Cleanup expired cache entries |
| 1458 |
* |
| 1459 |
* @return void |
| 1460 |
*/ |
| 1461 |
public function cleanup_cache(): void { |
| 1462 |
$this->cache->clean_expired(); |
| 1463 |
} |
| 1464 |
|
| 1465 |
/** |
| 1466 |
* Optimize homepage meta content using AI (copying Site Identity pattern exactly) |
| 1467 |
* |
| 1468 |
* @since 1.0.0 |
| 1469 |
* |
| 1470 |
* @param array $content_data Meta content data to optimize |
| 1471 |
* @param array $options Optimization options |
| 1472 |
* @return array Optimization results |
| 1473 |
* @throws \Exception If optimization fails |
| 1474 |
*/ |
| 1475 |
public function optimize_homepage_meta(array $content_data, array $options = []): array { |
| 1476 |
// Validate input |
| 1477 |
if (empty($content_data)) { |
| 1478 |
throw new \Exception('Content data cannot be empty'); |
| 1479 |
} |
| 1480 |
|
| 1481 |
$user_id = get_current_user_id(); |
| 1482 |
|
| 1483 |
// Ensure user has configured their API key (copying Site Identity pattern) |
| 1484 |
$user_has_api_key = !empty($this->settings->get('openai_api_key')) || !empty($this->settings->get('claude_api_key')) || !empty($this->settings->get('gemini_api_key')) || !empty($this->settings->get('openrouter_api_key')); |
| 1485 |
|
| 1486 |
if (!$user_has_api_key) { |
| 1487 |
throw new \Exception($this->get_client_unavailable_message()); |
| 1488 |
} |
| 1489 |
|
| 1490 |
// Generate cache key using existing pattern |
| 1491 |
$cache_key = 'homepage_meta_' . md5(serialize($content_data) . serialize($options)) . '_' . $user_id; |
| 1492 |
|
| 1493 |
// Check existing cache infrastructure |
| 1494 |
// Cache_Manager::set() wraps entries as ['data' => …], so unwrap |
| 1495 |
// before inspecting — checking optimized_data on the wrapped array |
| 1496 |
// never matches and the cache would never hit. |
| 1497 |
$cached_result = $this->cache->get($cache_key); |
| 1498 |
$cached_result = $cached_result['data'] ?? $cached_result; |
| 1499 |
if (!empty($cached_result['optimized_data'])) { |
| 1500 |
return $cached_result; |
| 1501 |
} |
| 1502 |
|
| 1503 |
// Check rate limiting |
| 1504 |
if (!$this->check_rate_limit()) { |
| 1505 |
throw new \Exception('Rate limit exceeded for AI optimization requests.'); |
| 1506 |
} |
| 1507 |
|
| 1508 |
// Get AI client |
| 1509 |
$client = $this->get_client(); |
| 1510 |
|
| 1511 |
if (!$client) { |
| 1512 |
throw new \Exception($this->get_client_unavailable_message()); |
| 1513 |
} |
| 1514 |
|
| 1515 |
// Perform AI optimization |
| 1516 |
$optimization_results = $client->optimize_homepage_meta($content_data, $options); |
| 1517 |
|
| 1518 |
// Validate that we got meaningful results |
| 1519 |
if (empty($optimization_results) || empty($optimization_results['optimized_data'])) { |
| 1520 |
throw new \Exception('AI optimization returned empty results. Please try again.'); |
| 1521 |
} |
| 1522 |
|
| 1523 |
// Add metadata |
| 1524 |
$optimization_results['ai_model'] = $client->get_model(); |
| 1525 |
$optimization_results['provider'] = $this->settings->get('ai_provider', 'openai'); |
| 1526 |
$optimization_results['generated_at'] = gmdate('Y-m-d H:i:s'); |
| 1527 |
$optimization_results['user_id'] = $user_id; |
| 1528 |
|
| 1529 |
// Cache the results (24 hours) |
| 1530 |
$this->cache->set($cache_key, $optimization_results, 86400); |
| 1531 |
|
| 1532 |
// Record usage with actual model information and raw AI text (Content Brief pattern) |
| 1533 |
$actual_model = $optimization_results['ai_model'] ?? ($client ? $client->get_model() : null); |
| 1534 |
$ai_text = $optimization_results['_ai_text'] ?? null; |
| 1535 |
$this->log_ai_usage($user_id, 'Homepage Meta Optimization', $optimization_results['tokens_used'] ?? 0, $actual_model, $ai_text); |
| 1536 |
|
| 1537 |
// Remove AI text from returned data to keep it clean |
| 1538 |
unset($optimization_results['_ai_text']); |
| 1539 |
|
| 1540 |
return $optimization_results; |
| 1541 |
} |
| 1542 |
|
| 1543 |
/** |
| 1544 |
* Optimize homepage hero content using AI (copying Site Identity pattern exactly) |
| 1545 |
* |
| 1546 |
* @since 1.0.0 |
| 1547 |
* |
| 1548 |
* @param array $hero_data Hero content data to optimize |
| 1549 |
* @param array $options Optimization options |
| 1550 |
* @return array Optimization results |
| 1551 |
* @throws \Exception If optimization fails |
| 1552 |
*/ |
| 1553 |
public function optimize_homepage_hero(array $hero_data, array $options = []): array { |
| 1554 |
// Validate input |
| 1555 |
if (empty($hero_data)) { |
| 1556 |
throw new \Exception('Hero data cannot be empty'); |
| 1557 |
} |
| 1558 |
|
| 1559 |
$user_id = get_current_user_id(); |
| 1560 |
|
| 1561 |
// Ensure user has configured their API key (copying Site Identity pattern) |
| 1562 |
$user_has_api_key = !empty($this->settings->get('openai_api_key')) || !empty($this->settings->get('claude_api_key')) || !empty($this->settings->get('gemini_api_key')) || !empty($this->settings->get('openrouter_api_key')); |
| 1563 |
|
| 1564 |
if (!$user_has_api_key) { |
| 1565 |
throw new \Exception($this->get_client_unavailable_message()); |
| 1566 |
} |
| 1567 |
|
| 1568 |
// Generate cache key using existing pattern |
| 1569 |
$cache_key = 'homepage_hero_' . md5(serialize($hero_data) . serialize($options)) . '_' . $user_id; |
| 1570 |
|
| 1571 |
// Check existing cache infrastructure |
| 1572 |
// Cache_Manager::set() wraps entries as ['data' => …], so unwrap |
| 1573 |
// before inspecting — checking optimized_data on the wrapped array |
| 1574 |
// never matches and the cache would never hit. |
| 1575 |
$cached_result = $this->cache->get($cache_key); |
| 1576 |
$cached_result = $cached_result['data'] ?? $cached_result; |
| 1577 |
if (!empty($cached_result['optimized_data'])) { |
| 1578 |
return $cached_result; |
| 1579 |
} |
| 1580 |
|
| 1581 |
// Check rate limiting |
| 1582 |
if (!$this->check_rate_limit()) { |
| 1583 |
throw new \Exception('Rate limit exceeded for AI optimization requests.'); |
| 1584 |
} |
| 1585 |
|
| 1586 |
// Get AI client |
| 1587 |
$client = $this->get_client(); |
| 1588 |
|
| 1589 |
if (!$client) { |
| 1590 |
throw new \Exception($this->get_client_unavailable_message()); |
| 1591 |
} |
| 1592 |
|
| 1593 |
// Perform AI optimization |
| 1594 |
$optimization_results = $client->optimize_homepage_hero($hero_data, $options); |
| 1595 |
|
| 1596 |
// Validate that we got meaningful results |
| 1597 |
if (empty($optimization_results) || empty($optimization_results['optimized_data'])) { |
| 1598 |
throw new \Exception('AI optimization returned empty results. Please try again.'); |
| 1599 |
} |
| 1600 |
|
| 1601 |
// Add metadata |
| 1602 |
$optimization_results['ai_model'] = $client->get_model(); |
| 1603 |
$optimization_results['provider'] = $this->settings->get('ai_provider', 'openai'); |
| 1604 |
$optimization_results['generated_at'] = gmdate('Y-m-d H:i:s'); |
| 1605 |
$optimization_results['user_id'] = $user_id; |
| 1606 |
|
| 1607 |
// Cache the results (24 hours) |
| 1608 |
$this->cache->set($cache_key, $optimization_results, 86400); |
| 1609 |
|
| 1610 |
// Record usage with actual model information and raw AI text (Content Brief pattern) |
| 1611 |
$actual_model = $optimization_results['ai_model'] ?? ($client ? $client->get_model() : null); |
| 1612 |
$ai_text = $optimization_results['_ai_text'] ?? null; |
| 1613 |
$this->log_ai_usage($user_id, 'Homepage Hero Optimization', $optimization_results['tokens_used'] ?? 0, $actual_model, $ai_text); |
| 1614 |
|
| 1615 |
// Remove AI text from returned data to keep it clean |
| 1616 |
unset($optimization_results['_ai_text']); |
| 1617 |
|
| 1618 |
return $optimization_results; |
| 1619 |
} |
| 1620 |
} |
| 1621 |
|
